prada

DOI: 10.18129/B9.bioc.prada    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see prada.

Data analysis for cell-based functional assays

Bioconductor version: 3.11

Tools for analysing and navigating data from high-throughput phenotyping experiments based on cellular assays and fluorescent detection (flow cytometry (FACS), high-content screening microscopy).

Author: Florian Hahne <florian.hahne at novartis.com>, Wolfgang Huber <huber at ebi.ac.uk>, Markus Ruschhaupt, Joern Toedling <toedling at ebi.ac.uk>, Joseph Barry <joseph.barry at embl.de>

Maintainer: Florian Hahne <florian.hahne at novartis.com>

Citation (from within R, enter citation("prada")):

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("prada")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("prada")

 

PDF R Script Combining prada output and cellHTS2
PDF R Script Removal of contaminants from FACS data
PDF   Reference Manual

Details

biocViews CellBasedAssays, ImmunoOncology, Software, Visualization
Version 1.63.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 15.5 years)
License LGPL
Depends R (>= 2.10), Biobase, RColorBrewer, grid, methods, rrcov
Imports Biobase, BiocGenerics, graphics, grDevices, grid, MASS, methods, RColorBrewer, rrcov, stats4, utils
LinkingTo
Suggests cellHTS2, tcltk
SystemRequirements
Enhances
URL
Depends On Me facsDorit, RNAither
Imports Me cellHTS2, cmapR
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package prada_1.63.0.tar.gz
Windows Binary prada_1.63.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/prada
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/prada
Package Short Url https://bioconductor.org/packages/prada/
Package Downloads Report Download Stats

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